Scalable Risk Assessment Methods for Pedestrians and ...
Transcript of Scalable Risk Assessment Methods for Pedestrians and ...
Scalable Risk Assessment Methods for Pedestrians and Bicyclists
Tamara RedmonFederal Highway Administration
Shawn TurnerTexas A&M Transportation Institute
Ipek SenerTexas A&M Transportation Institute
Michael MartinTexas A&M Transportation Institute
Robert HampshireUniversity of Michigan Transportation
Research Institute
Wednesday, October 10, 2018
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Scalable Risk Assessment Methods for Pedestrians and Bicyclists
Tamara RedmonFederal Highway Administration
Shawn TurnerTexas A&M Transportation Institute
Ipek SenerTexas A&M Transportation Institute
Michael MartinTexas A&M Transportation Institute
Robert HampshireUniversity of Michigan Transportation
Research Institute
Wednesday, October 10, 2018
Introduction
• Project Objective– Develop approach to estimate pedestrian & bicyclist risk
(includes exposure) at several geographic scales
• Project Motivation– Identify high-priority areas and facilities– Monitor safety performance measures– Evaluate countermeasures and sites before and after
improvements– Need exposure in safety and risk analyses
2
Webinar Learning Objectives
• After the webinar, participants will be able to:
– Outline the 8 steps in Scalable Risk Assessment for Pedestrians and Bicyclists
– Describe how exposure is included in the 3 ways to quantify risk
– Describe the 4 geographic scales and how scale influences the selection of exposure estimation methods and exposure measures
Webinar OverviewTopic Presenter
Overview of Scalable Risk Methods Shawn Turner, TTI
Exposure from Counts and Demand Estimation Models
Shawn Turner and Ipek Sener, TTI
Exposure from Travel Surveys Michael Martin, TTI
Case Study Example in Michigan Robert Hampshire, UMTRI
8 Steps
• Framework with flexibility
• Scale matters -- a lot!
• Exposure is key ingredient, focus in project
Step 1. Determine Use(s) of Risk Values
A. Safety performance measures
B. Network screening, area-based
C. Network screening, facility-based
D. Project prioritization
E. Countermeasure evaluation
F. Site evaluation
6
Step 2. Select Geographic Scale
7
Facility-Specific
Areawide
Step 2. Select Geographic Scale
• In many cases, your defined use(s) from Step 1 will also determine the scale to use
A. Safety performance measures (typically AREAWIDE)
B. Network screening, area-based (AREAWIDE)
C. Network screening, facility-based
D. Project prioritization
E. Countermeasure evaluation
F. Site evaluation
(FACILITY-SPECIFIC)
Step 3. Select Risk Definition
1. Observed crash rate
2. Expected crashes
3. Additional risk indicators
9
Step 3. Select Risk Definition
1. Observed crash rate
– Traditional approach
– Use with other crash analysis tools
– Observed crashes on specific facilities may not accurately represent true crash probability
– Preferred for areawide scales
10
Risk = Observed crashes
Exposure
Step 3. Select Risk Definition
2. Expected crashes
– Highway Safety Manual and other statistical models
• Function of pedestrian and bicyclist exposure, other road and traffic variables
– Overcomes issues with observed crashes on specific facilities
– Preferred for specific facilities, but requires advanced statistical methods to estimate expected crashes
11
Step 3. Select Risk Definition
3. Additional risk indicators
– Systemic safety: risk score based on combining pedestrian and bicyclist exposure with other road and traffic variables (i.e., risk factors)
– Compatible with FHWA’s Systemic Safety approach
– Risk is numeric score or rating, does not estimate crashes
– Preferred for specific facilities if expected crashes not feasible
12
Step 4. Select Exposure Measure
• Volume/count– E.g., crossing pedestrians, peds x motor vehicles
• Distance traveled– E.g., Pedestrian-miles of travel
• Time traveled– E.g., Pedestrian-hours of travel
• Trips made
• Population– E.g., % of population that walks on regular basis
13
Step 4. Select Exposure Measure
14
Exposure Measure Point Segment Network Region
Volume/count ●Distance traveled ● ● ●Time traveled ○ ○ ● ●Trips made ● ●Population ● ●
Steps 5 & 6. Select and Use Analytic Methods to Estimate Exposure
• Site counts
• Demand estimation models
• Travel surveys (AREAWIDE)
15
(FACILITY-SPECIFIC)
Steps 5 & 6. Select and Use Analytic Methods to Estimate Exposure• Limited number of facilities
– Site counts
• All facilities in city/region
– Site counts at sample locations used to develop and calibrate demand estimation model for all facilities
16
Steps 5 & 6. Select and Use Analytic Methods to Estimate Exposure• Direct demand models (most common)
• Model variables:
– Population density
– Total employment
– Land use mix
– Presence of transit stops
– Presence of walking/biking facilities
17
Steps 5 & 6. Select and Use Analytic Methods to Estimate Exposure• Travel surveys
– National Household Travel Survey (NHTS)
– American Community Survey (ACS)
– Regional travel survey
• AREAWIDE uses only
• Spreadsheet tool for state and MPO area exposure estimates
18
Steps 7 & 8: Compile Other Data, Calculate Risk Values• Step 7: Compile other required data (based on
risk definition from Step 3)
• Step 8: Calculate Risk Values
19
Resources
• Guide: Scalable Risk Assessment (FHWA-SA-18-032)
– https://safety.fhwa.dot.gov/ped_bike/tools_solve/fhwasa18032/
– Spreadsheet tool for statewide and MPO area exposure estimates
• Phase 1: Synthesis of Methods (FHWA-SA-17-041)
– https://safety.fhwa.dot.gov/ped_bike/tools_solve/fhwasa17041/index.cfm
Resources
• Technical assistance available through May 2020
• 3 in-person training sessions available late 2018 or early 2019
• Contact [email protected]
Exposure
• Analytic methods to estimate exposure
• Facility-Specific:
– Counts
– Demand models
• Areawide
– Travel surveys
Exposure from Site Counts
• Limited number of facilities
• Counts for model development (next topic)
• Use of automated equipment– Annualizing short duration counts
• Balance number of count locations and duration
• Crowdsourced data on horizon
Counting Guides & Resources
• FHWA 2016 Traffic Monitoring Guide
• FHWA-HEP-17-012, Count Tech Pilot
• NCHRP Report 797, Guidebook on Data Collection
• NCHRP Web-only Doc 229, Methods and Tech
• FHWA-HPL-16-026, Ped Counting Practices
Demand Estimation Models
• Numerous models to estimate pedestrian and bicyclist demand.
• The models range in complexity and input requirements.
• Some have been more commonly used than others.
25
Direct demand models
Regional travel
demand models
Trip generation and flow models
GIS-based models
Discrete choice models
Simulation-based traffic
models
Data fusion
Step 5: Select
26
Best Methodology?
Resources
Scope
Scale Data
Step 5: Select
27
1• Selection matrix
Step 5: Select
28
1• Selection matrix
2• Overview & resources
Step 5: Select
29
1• Selection matrix
2• Overview & resources
3• Key considerations
Step 6: Use
30
Direct
Demand
Models
Step 6: Use
31
1• Detailed overview
Direct Demand Modelsdefinitions, characteristics, use, advantages, disadvantages, etc.
Step 6: Use
32
1• Detailed overview
2• Development – step by step
Step 6: Use
33
1• Detailed overview
2• Development
3• Examples
Travel Surveys
• American Community Survey (ACS)
• National Household Travel Survey (NHTS)
• Regional Household Travel Survey
http://crdtravelsurvey.ca/
American Community Survey (ACS)
• National ongoing survey of U.S. households
• Conducted by the U.S. Census Bureau
• Limited to commute trip information
• Data Availability
– 3- and 5-year estimates best for small areas
– 1-year estimates best for larger population areas
National Household Travel Survey (NHTS)
• National ongoing survey of U.S. households
• Conducted by U.S. DOT / FHWA
• Information– All trips
– Household & person demographics
– Vehicles
• Data Availability– Conducted every 5 to 7 years
– Add-on samples can be purchased
Regional Household Travel Survey
• Conducted by an MPO/regional planning agency
• Stratified sample to represent local population
• Data Availability
– Conducted every 8 to 10 years
– GPS data may be collected
http://crdtravelsurvey.ca/
Travel Surveys
Survey Type FrequencyAreas
CoveredTrip Types Other Limitations
ACS YearlyCensus
Geographies
Home-to-Work
Commute Only
Does not capture trips by
children/adults.
NHTSPeriodic
(5 – 7 years)
State &
CBSAAll
Sample sizes become
sparse at small geographic
areas.
Regional
Household
Travel
Survey
Periodic
(8 – 10 years)Local Customizable
High cost to conduct.
Expertise required to
process and analyze survey
data.
Areawide Non-Motorized Exposure Tool
• Purpose
– Estimate non-motorized exposure to risk at different geographic scales
• Annual exposure for walking & bicycling
– Trips
– Miles of travel
– Hours of travel
Geographic Scales
• Statewide
– 2009 NHTS travel characteristics
– ACS 1-year estimates to fill gap
• Metropolitan Planning Organization (MPO)
– 2009 NHTS travel characteristics
– NHTS samples in CBSAs used as proxies for MPOs
– ACS 5-year estimates interpolated up to MPOs
Statewide Non-Motorized Exposure
• Estimates walking and biking exposure at the state-level for years 2009 – 2016
• ACS commute trips adjusted to represent the analysis year
– Changes in population
– Changes in relationship between commute trips and total trips
Statewide Exposure Estimates
State: New York Select State of interest
2009 2010 2011 2012 2013 2014 2015 2016
Daily Persons Commuting 574,322 542,579 575,553 568,540 574,861 576,752 583,151 577,983
Commute-to-Total Trips Adjustment Factor 25.49 25.49 25.49 25.49 25.49 25.49 25.49 25.49
Population Adjustment Factor 1.00 0.99 1.00 1.00 1.01 1.01 1.01 1.01
5,343,405,740 4,997,592,893 5,354,858,779 5,289,610,879 5,401,904,720 5,419,674,236 5,479,804,926 5,431,241,806
Source: Default Default Default Default Default Default Default Default
Default Value: 0.76 0.76 0.76 0.76 0.76 0.76 0.76 0.76
User Input Value: 1
4,060,988,362 3,798,170,599 4,069,692,672 4,020,104,268 4,105,447,587 4,118,952,419 4,164,651,744 4,127,743,772
Source: Default Default Default Default Default Default Default Default
Default Value: 14.82 14.82 14.82 14.82 14.82 14.82 14.82 14.82
User Input Value:
1,319,821,218 1,234,405,445 1,322,650,118 1,306,533,887 1,334,270,466 1,338,659,536 1,353,511,817 1,341,516,726
290 288 273 287 293 262 295 300
0.220 0.233 0.206 0.220 0.220 0.196 0.218 0.224
2009 2010 2011 2012 2013 2014 2015 2016
Daily Persons Commuting 39,185 41,232 44,418 53,119 62,021 58,198 61,618 66,595
Commute-to-Total Trips Adjustment Factor 11.54 11.54 11.54 11.54 11.54 11.54 11.54 11.54
Population Adjustment Factor 1.00 0.99 1.00 1.00 1.01 1.01 1.01 1.01
165,051,139 171,936,574 187,093,058 223,742,540 263,851,041 247,587,154 262,136,590 283,309,847
Source: Default Default Default Default Default Default Default Default
Default Value: 1.93 1.93 1.93 1.93 1.93 1.93 1.93 1.93
User Input Value:
318,548,697 331,837,588 361,089,602 431,823,102 509,232,508 477,843,207 505,923,618 546,788,006
Source: Default Default Default Default Default Default Default Default
Default Value: 20.81 20.81 20.81 20.81 20.81 20.81 20.81 20.81
User Input Value:
57,245,237 59,633,335 64,890,109 77,601,371 91,512,336 85,871,478 90,917,707 98,261,299
28 36 57 42 36 46 36 36
0.489 0.604 0.878 0.541 0.393 0.536 0.396 0.366
2009 2010 2011 2012 2013 2014 2015 2016
5,508,456,878 5,169,529,467 5,541,951,837 5,513,353,419 5,665,755,761 5,667,261,390 5,741,941,515 5,714,551,653
4,379,537,059.48 4,130,008,186.64 4,430,782,273.63 4,451,927,370.05 4,614,680,095.64 4,596,795,626.23 4,670,575,361.39 4,674,531,778.15
1,377,066,454.24 1,294,038,779.66 1,387,540,227.31 1,384,135,258.03 1,425,782,801.77 1,424,531,014.16 1,444,429,523.79 1,439,778,024.83
318 324 330 329 329 308 331 336
0.231 0.250 0.238 0.238 0.231 0.216 0.229 0.233
Fatalities
Estimated Annual Bicyclist Hours of Travel
Estimated Annual Bicyclist Miles of Travel
Average Trip Duration (Minutes)
Estimated Annual Pedestrian Trips
Estimated Annual Pedestrian Hours of Travel
Fatalities
Fatalities/Million Hours of Travel
Estimated Annual Pedestrian Miles of Travel
Estimated Annual Bicyclist Trips
Select the source (Default or User Input) of the required inputs.
For the User Input option, values are required in the cell below.
Walking
Bicycling
Non-Motorized Fatalities/Million Hours of Travel
Non-Motorized Fatalities
Estimated Annual Non-Motorized Hours of Travel
Estimated Annual Non-Motorized Miles of Travel
Estimated Annual Non-Motorized Trips
Non-Motorized
Average Trip Length (Miles)
Average Trip Duration (Minutes)
Average Trip Length (Miles)
Fatalities/Million Hours of Travel
1 2
2
2
2
2
Statewide Exposure Estimates
State: New York Select State of interest
2009 2010 2011 2012 2013 2014 2015 2016
Daily Persons Commuting 574,322 542,579 575,553 568,540 574,861 576,752 583,151 577,983
Commute-to-Total Trips Adjustment Factor 25.49 25.49 25.49 25.49 25.49 25.49 25.49 25.49
Population Adjustment Factor 1.00 0.99 1.00 1.00 1.01 1.01 1.01 1.01
5,343,405,740 4,997,592,893 5,354,858,779 5,289,610,879 5,401,904,720 5,419,674,236 5,479,804,926 5,431,241,806
Source: Default Default Default Default Default Default Default Default
Default Value: 0.76 0.76 0.76 0.76 0.76 0.76 0.76 0.76
User Input Value: 1
4,060,988,362 3,798,170,599 4,069,692,672 4,020,104,268 4,105,447,587 4,118,952,419 4,164,651,744 4,127,743,772
Source: Default Default Default Default Default Default Default Default
Default Value: 14.82 14.82 14.82 14.82 14.82 14.82 14.82 14.82
User Input Value:
1,319,821,218 1,234,405,445 1,322,650,118 1,306,533,887 1,334,270,466 1,338,659,536 1,353,511,817 1,341,516,726
290 288 273 287 293 262 295 300
0.220 0.233 0.206 0.220 0.220 0.196 0.218 0.224
2009 2010 2011 2012 2013 2014 2015 2016
Daily Persons Commuting 39,185 41,232 44,418 53,119 62,021 58,198 61,618 66,595
Commute-to-Total Trips Adjustment Factor 11.54 11.54 11.54 11.54 11.54 11.54 11.54 11.54
Population Adjustment Factor 1.00 0.99 1.00 1.00 1.01 1.01 1.01 1.01
165,051,139 171,936,574 187,093,058 223,742,540 263,851,041 247,587,154 262,136,590 283,309,847
Source: Default Default Default Default Default Default Default Default
Default Value: 1.93 1.93 1.93 1.93 1.93 1.93 1.93 1.93
User Input Value:
318,548,697 331,837,588 361,089,602 431,823,102 509,232,508 477,843,207 505,923,618 546,788,006
Source: Default Default Default Default Default Default Default Default
Default Value: 20.81 20.81 20.81 20.81 20.81 20.81 20.81 20.81
User Input Value:
57,245,237 59,633,335 64,890,109 77,601,371 91,512,336 85,871,478 90,917,707 98,261,299
28 36 57 42 36 46 36 36
0.489 0.604 0.878 0.541 0.393 0.536 0.396 0.366
2009 2010 2011 2012 2013 2014 2015 2016
5,508,456,878 5,169,529,467 5,541,951,837 5,513,353,419 5,665,755,761 5,667,261,390 5,741,941,515 5,714,551,653
4,379,537,059.48 4,130,008,186.64 4,430,782,273.63 4,451,927,370.05 4,614,680,095.64 4,596,795,626.23 4,670,575,361.39 4,674,531,778.15
1,377,066,454.24 1,294,038,779.66 1,387,540,227.31 1,384,135,258.03 1,425,782,801.77 1,424,531,014.16 1,444,429,523.79 1,439,778,024.83
318 324 330 329 329 308 331 336
0.231 0.250 0.238 0.238 0.231 0.216 0.229 0.233
Fatalities
Estimated Annual Bicyclist Hours of Travel
Estimated Annual Bicyclist Miles of Travel
Average Trip Duration (Minutes)
Estimated Annual Pedestrian Trips
Estimated Annual Pedestrian Hours of Travel
Fatalities
Fatalities/Million Hours of Travel
Estimated Annual Pedestrian Miles of Travel
Estimated Annual Bicyclist Trips
Select the source (Default or User Input) of the required inputs.
For the User Input option, values are required in the cell below.
Walking
Bicycling
Non-Motorized Fatalities/Million Hours of Travel
Non-Motorized Fatalities
Estimated Annual Non-Motorized Hours of Travel
Estimated Annual Non-Motorized Miles of Travel
Estimated Annual Non-Motorized Trips
Non-Motorized
Average Trip Length (Miles)
Average Trip Duration (Minutes)
Average Trip Length (Miles)
Fatalities/Million Hours of Travel
1 2
2
2
2
2
Statewide Exposure Estimates
State: New York Select State of interest
2009 2010 2011 2012 2013 2014 2015 2016
Daily Persons Commuting 574,322 542,579 575,553 568,540 574,861 576,752 583,151 577,983
Commute-to-Total Trips Adjustment Factor 25.49 25.49 25.49 25.49 25.49 25.49 25.49 25.49
Population Adjustment Factor 1.00 0.99 1.00 1.00 1.01 1.01 1.01 1.01
5,343,405,740 4,997,592,893 5,354,858,779 5,289,610,879 5,401,904,720 5,419,674,236 5,479,804,926 5,431,241,806
Source: Default Default Default Default Default Default Default Default
Default Value: 0.76 0.76 0.76 0.76 0.76 0.76 0.76 0.76
User Input Value: 1
4,060,988,362 3,798,170,599 4,069,692,672 4,020,104,268 4,105,447,587 4,118,952,419 4,164,651,744 4,127,743,772
Source: Default Default Default Default Default Default Default Default
Default Value: 14.82 14.82 14.82 14.82 14.82 14.82 14.82 14.82
User Input Value:
1,319,821,218 1,234,405,445 1,322,650,118 1,306,533,887 1,334,270,466 1,338,659,536 1,353,511,817 1,341,516,726
290 288 273 287 293 262 295 300
0.220 0.233 0.206 0.220 0.220 0.196 0.218 0.224
2009 2010 2011 2012 2013 2014 2015 2016
Daily Persons Commuting 39,185 41,232 44,418 53,119 62,021 58,198 61,618 66,595
Commute-to-Total Trips Adjustment Factor 11.54 11.54 11.54 11.54 11.54 11.54 11.54 11.54
Population Adjustment Factor 1.00 0.99 1.00 1.00 1.01 1.01 1.01 1.01
165,051,139 171,936,574 187,093,058 223,742,540 263,851,041 247,587,154 262,136,590 283,309,847
Source: Default Default Default Default Default Default Default Default
Default Value: 1.93 1.93 1.93 1.93 1.93 1.93 1.93 1.93
User Input Value:
318,548,697 331,837,588 361,089,602 431,823,102 509,232,508 477,843,207 505,923,618 546,788,006
Source: Default Default Default Default Default Default Default Default
Default Value: 20.81 20.81 20.81 20.81 20.81 20.81 20.81 20.81
User Input Value:
57,245,237 59,633,335 64,890,109 77,601,371 91,512,336 85,871,478 90,917,707 98,261,299
28 36 57 42 36 46 36 36
0.489 0.604 0.878 0.541 0.393 0.536 0.396 0.366
2009 2010 2011 2012 2013 2014 2015 2016
5,508,456,878 5,169,529,467 5,541,951,837 5,513,353,419 5,665,755,761 5,667,261,390 5,741,941,515 5,714,551,653
4,379,537,059.48 4,130,008,186.64 4,430,782,273.63 4,451,927,370.05 4,614,680,095.64 4,596,795,626.23 4,670,575,361.39 4,674,531,778.15
1,377,066,454.24 1,294,038,779.66 1,387,540,227.31 1,384,135,258.03 1,425,782,801.77 1,424,531,014.16 1,444,429,523.79 1,439,778,024.83
318 324 330 329 329 308 331 336
0.231 0.250 0.238 0.238 0.231 0.216 0.229 0.233
Fatalities
Estimated Annual Bicyclist Hours of Travel
Estimated Annual Bicyclist Miles of Travel
Average Trip Duration (Minutes)
Estimated Annual Pedestrian Trips
Estimated Annual Pedestrian Hours of Travel
Fatalities
Fatalities/Million Hours of Travel
Estimated Annual Pedestrian Miles of Travel
Estimated Annual Bicyclist Trips
Select the source (Default or User Input) of the required inputs.
For the User Input option, values are required in the cell below.
Walking
Bicycling
Non-Motorized Fatalities/Million Hours of Travel
Non-Motorized Fatalities
Estimated Annual Non-Motorized Hours of Travel
Estimated Annual Non-Motorized Miles of Travel
Estimated Annual Non-Motorized Trips
Non-Motorized
Average Trip Length (Miles)
Average Trip Duration (Minutes)
Average Trip Length (Miles)
Fatalities/Million Hours of Travel
1 2
2
2
2
2
MPO Non-Motorized Exposure
• Estimates walking and biking exposure at the MPO-level for years 2009 – 2016
• 2009 NHTS trips adjusted to represent analysis year
– Changes in commute trip making between 2009 and analysis year
MPO Exposure Tool (BETA)
State: Select State of interest
MPO: Select MPO of interest
2009 2010 2011 2012 2013 2014 2015 2016
Source: Default Default Default Default Default Default Default Default
Default Value: 0.63156 0.63156 0.63156 0.63156 0.63156 0.63156 0.63156 0.63156
User Input Value:
Source: Default Default Default Default Default Default Default Default
Default Value: 1,382,368 1,397,685 1,418,280 1,438,803 1,459,111 1,477,113 1,499,485 1,519,651
User Input Value:
Source: Default Default Default Default Default Default Default Default
Default Value: 1.00000 1.04175 1.03828 1.12315 1.13918 1.13549 1.16579 1.19087
User Input Value:
318,661,769 335,643,597 339,455,956 372,516,428 383,167,403 386,637,020 402,965,257 417,169,821
Source: Default Default Default Default Default Default Default Default
Default Value: 0.67978 0.67978 0.67978 0.67978 0.67978 0.67978 0.67978 0.67978
User Input Value:
216,619,443 228,163,326 230,754,886 253,228,687 260,468,992 262,827,562 273,927,149 283,583,107
Source: Default Default Default Default Default Default Default Default
Default Value: 14.49607 14.49607 14.49607 14.49607 14.49607 14.49607 14.49607 14.49607
User Input Value:
76,989,059 81,091,888 82,012,959 90,000,408 92,573,696 93,411,959 97,356,881 100,788,720
12 21 14 25 20 21 24 32
0.156 0.259 0.171 0.278 0.216 0.225 0.247 0.317
2009 2010 2011 2012 2013 2014 2015 2016
Source: Default Default Default Default Default Default Default Default
Default Value: 0.05439 0.05439 0.05439 0.05439 0.05439 0.05439 0.05439 0.05439
User Input Value:
Source: Default Default Default Default Default Default Default Default
Default Value: 1,382,368 1,397,685 1,418,280 1,438,803 1,459,111 1,477,113 1,499,485 1,519,651
User Input Value:
Source: Default Default Default Default Default Default Default Default
Default Value: 1.00000 1.11245 1.18615 1.25574 1.27402 1.34042 1.39129 1.45871
User Input Value:
27,445,001 30,869,364 33,399,511 35,870,766 36,906,645 39,309,202 41,418,949 44,010,206
Source: Default Default Default Default Default Default Default Default
Default Value: 3.07657 3.07657 3.07657 3.07657 3.07657 3.07657 3.07657 3.07657
User Input Value:
84,436,561 94,971,865 102,756,049 110,359,046 113,546,004 120,937,645 127,428,439 135,400,630
Source: Default Default Default Default Default Default Default Default
Default Value: 22.69772 22.69772 22.69772 22.69772 22.69772 22.69772 22.69772 22.69772
User Input Value:
10,382,317 11,677,738 12,634,881 13,569,745 13,961,613 14,870,489 15,668,597 16,648,857
4 1 4 3 1 1 2 7
0.385 0.086 0.317 0.221 0.072 0.067 0.128 0.420
2009 2010 2011 2012 2013 2014 2015 2016
346,106,770 366,512,961 372,855,467 408,387,194 420,074,048 425,946,221 444,384,207 461,180,027
301,056,004.07 323,135,191.75 333,510,935.19 363,587,732.43 374,014,995.15 383,765,207.22 401,355,587.76 418,983,736.98
87,371,375.61 92,769,626.10 94,647,839.42 103,570,152.69 106,535,309.07 108,282,448.44 113,025,477.79 117,437,577.47
16 22 18 28 21 22 26 39
0.183 0.237 0.190 0.270 0.197 0.203 0.230 0.332
Estimated Annual Non-Motorized Trips
Non-Motorized Fatalities/Million Hours of Travel
Non-Motorized Fatalities
Estimated Annual Non-Motorized Hours of Travel
Estimated Annual Non-Motorized Miles of Travel
Estimated Annual Bicyclist Trips
Average Trip Length (Miles)
Estimated Annual Bicyclist Miles of Travel
Average Trip Duration (Minutes)
Estimated Annual Bicyclist Hours of Travel
Non-Motorized
MPO Population Estimate
Population Adjustment Factor
Estimated Annual Pedestrian Trips
Average Trip Length (Miles)
Estimated Annual Pedestrian Miles of Travel
Average Trip Duration (Minutes)
Estimated Annual Pedestrian Hours of Travel
Fatalities
Fatalities/Million Hours of Travel
Bicycling
Person Trip Rate
Fatalities
Fatalities/Million Hours of Travel
Population Adjustment Factor
MPO Population Estimate
Oregon
Portland Area Comprehensive Transportation
System (OR)
Walking
Person Trip Rate
Select the source (Default or User Input)
of the required inputs. For the User
Input option, values are required in the
cell below.
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Case Study: Pedestrian Risk Assessment in Michigan• Michigan DOT and University of Michigan
Transportation Research Institute
• Statewide risk assessment tool for pedestrian crashes
• Goal: create a risk score, based on mapping crashes and the risk characteristics
• Fictional case example based on this project
http://pedbikerisk.umtri.umich.edu
Case Study: Corridor Risk Analysis
• Goal: identify corridors in Detroit Michigan in need of pedestrian enhancement and countermeasures.
• improve the facilities in an entire corridor, not just one location.
• For example, along busy roads, land use features like business districts or the lack of lighting are often consistent over space.
Case Study: Steps 1-4
• Step 1 Determine Use(s) of Risk Values– Network screening -> Area based
• Step 2: Select Geographic Scale– Areawide -> Network -> Corridor
• Step 3: Select Risk Definition– Expected Crashes
• Step 4: Select Exposure Measure– Trips made
Case Study: Steps 5-7
• Step 5: Select analytic method to estimate exposure– Demand Estimation Model -> Trip generation and flow model
• Step 6: Use analytic method to estimate Exposure– Estimate binomial and logistic regressions
• Step 7: Compile Other Required Data– Crash data, roadway characteristics
• Step 8: Calculate Risk Value– Empirical Bayes -> pedestrian safety performance
functions (SPF)
Steps 5: Select analytic method to estimate exposure
Clifton, K. J., Singleton, P. A., Muhs, C. D., and Schneider, R. J. Representing pedestrian activity in travel demand models: Framework and application. Journal of transport geography, Vol. 52, 2016, pp.111-122.
Step 6: Use analytic method to estimate Exposure
Daily pedestrian trips made per PAZ for Wayne county Michigan
PedestrianAnalysisZone
ZoomintoDetroit
Step 7: Compile other data
Case Study: Step 8 -> Risk
Woodward Corridor Risk = 91 expected crashesGratiot Corridor Risk = 50 expected crashes
Case Study: Lessons Learned
• Pedestrian generation and flow models require significant technical capabilities.
• Highway Safety Manual and non-motorized assessment
• Need to validate the exposure and risk models
• How to integrate them into MDOT’s processes?
Discussion
Send us your questions
Follow up with us:
Tamara Redmon [email protected]
Shawn Turner [email protected]
Ipek Sener [email protected]
Michael Martin [email protected]
Robert Hampshire [email protected]
General Inquiries [email protected]
Archive at www.pedbikeinfo.org/webinars